Data Analytics Frenzy Fueled by Population Health Management

With reimbursement for healthcare services increasingly based on clinical outcomes, patient experience and cost of care, the motivation to slice and dice patient and population data has never been stronger. Population health management is the top driver of data analytics for more than a quarter of respondents to the 2016 Data Analytics and Integration Survey by the Healthcare Intelligence Network.

Data Analytics Frenzy Fueled by Population Health Management
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Elena Tkachev

Beyond facilitating business decisions and improving quality of care and patient experience, data analytics help Collaborative Health Systems (CHS) to close gaps in preventive care, explains Elena Tkachev, CHS director of ACO analytics. One key preventive metric for the largest U.S. sponsor of Medicare Shared Savings Programs (MSSPs) is the Medicare Annual Wellness Visit (AWV), which CHS has set as a core goal. Listen to Ms. Tkachev describes the rationale behind this goal, how data analytics drives AWVs, and the dramatic correlation between AWVs and patient attribution.


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2016 Healthcare Benchmarks: Data Analytics and Integration

More information on this topic can be found in: 2016 Healthcare Benchmarks: Data Analytics and Integration, which examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network.